About me
Jennifer Marsh brings 25 years of experience in the legal industry, seamlessly blending legal, data, and technical expertise. Graduating Magna Cum Laude with a concentration in intellectual property, she practiced as a litigator and IP attorney for nearly a decade at a prominent New Jersey firm, WilmerHale's New York office, and as a solo practitioner.
Her transition to legal technology began in 2007 when she wrote IP articles for Bloomberg while still practicing. In 2008, she joined Bloomberg’s IP team, contributing to the initial Bloomberg Law website and covering trademark and entertainment legal topics. She later moved to Bloomberg’s Global Data Department, where she held leadership roles, including interim team lead for the Points of Law product feature and data licensing.
In 2013, Jennifer became the Global Data Lead for Bloomberg's Dockets and Breaking Complaints products. She led a 14-member team that expanded the products to market-leading positions, reduced operating expenses, and scaled the award-winning Docket Key machine-learning feature. She then transitioned to a Business Lead role in Bloomberg’s Technical Operations division, focusing on operational visualization, vendor management, and data process engineering.
Seeking to broaden her horizons, Jennifer left Bloomberg to join several startups, leading initiatives to improve flagship products at InfoTrack US, managing the James Publishing integration at Casetext, and spearheading an environmental compliance project at an analytics startup. She also joined a team testing Generative AI outputs for a leading legal Generative AI product.
Most recently, in August 2024, Jennifer is excited to announce her new role as Director of Product (Artificial Intelligence) to lead the build-out of a Generative AI function. Accordingly, she is no longer taking any project-based work to focus exclusively on this new initiative.
Over the past decade+, Jennifer has successfully transitioned from practicing attorney to Director of Product Management (Artificial Intelligence), mastering SQL, Python, and analytical tools like Qlik, Power BI, and Tableau. She has studied statistics, advanced analytics, data science, machine learning, and NLP, completing Codecademy career pathways and obtaining certifications in Product Design, Modern Product Leadership, and Agile Methodologies.
She is excited to see what this next chapter will bring!
Testimonials
